COT-GAN: Generating Sequential Data via Causal Optimal Transport

15 June 2020

Papers citing "COT-GAN: Generating Sequential Data via Causal Optimal Transport"

21 / 21 papers shown

Title
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 51 0 0 25 Aug 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation Jian Qian Miao Sun Sifan Zhou Biao Wan Minhao Li Patrick Chiang 46 7 0 05 Jul 2024
Universal randomised signatures for generative time series modelling Francesca Biagini Lukas Gonon Niklas Walter 42 4 0 14 Jun 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao Hao Ni Weixin Yang GAN 54 0 0 27 May 2024
High Rank Path Development: an approach of learning the filtration of stochastic processes Jiajie Tao Hao Ni Chong Liu 24 0 0 23 May 2024
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers Md Fahim Sikder R. Ramachandranpillai Fredrik Heintz DiffM 36 10 0 24 Jul 2023
Fitted Value Iteration Methods for Bicausal Optimal Transport Erhan Bayraktar Bingyan Han OT 37 6 0 22 Jun 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 30 0 0 24 May 2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space Hang Lou Siran Li Hao Ni AI4TS 46 10 0 21 May 2023
Generative modeling for time series via Schr{ö}dinger bridge Mohamed Hamdouche P. Henry-Labordère H. Pham AI4TS DiffM OT 41 11 0 11 Apr 2023
Optimal transport and Wasserstein distances for causal models Patrick Cheridito Stephan Eckstein OT 40 7 0 24 Mar 2023
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs Samantha Chen Sunhyuk Lim Facundo Mémoli Zhengchao Wan Yusu Wang 21 8 0 01 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
Regular Time-series Generation using SGM Haksoo Lim Minjung Kim Sewon Park Noseong Park DiffM TTA AI4TS 33 23 0 20 Jan 2023
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 46 1 0 12 Oct 2022
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) Ali Seyfi Jean-Francois Rajotte Raymond T. Ng AI4TS 16 27 0 27 May 2022
Time-series Transformer Generative Adversarial Networks Padmanaba Srinivasan William J. Knottenbelt AI4TS 28 13 0 23 May 2022
Simulating Network Paths with Recurrent Buffering Units Divyam Anshumaan S. Balasubramanian Shubham Tiwari Nagarajan Natarajan Sundararajan Sellamanickam V. Padmanabhan 32 0 0 23 Feb 2022
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids Xiangtian Zheng Nan Xu Loc Trinh Dongqi Wu Tong Huang S. Sivaranjani Yan Liu Le Xie AI4CE 41 44 0 12 Oct 2021
Robust pricing and hedging via neural SDEs Patryk Gierjatowicz Marc Sabate Vidales David Siska Lukasz Szpruch Zan Zuric 22 34 0 08 Jul 2020
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 514 0 29 Nov 2016